| 2025 | HPDC | CarbonEdge: Leveraging Mesoscale Spatial Carbon-Intensity Variations for Low Carbon Edge Computing. | Li Wu, Walid A. Hanafy, Abel Souza, Khai Nguyen, Jan Harkes, David Irwin, Mahadev Satyanarayanan, Prashant J. Shenoy |
| 2025 | ICLR | Towards Marginal Fairness Sliced Wasserstein Barycenter. | Khai Nguyen, Hai Nguyen, Nhat Ho |
| 2025 | ICML | Lightspeed Geometric Dataset Distance via Sliced Optimal Transport. | Khai Nguyen, Hai Nguyen, Tuan Pham, Nhat Ho |
| 2024 | AISTATS | On Parameter Estimation in Deviated Gaussian Mixture of Experts. | Huy Nguyen, Khai Nguyen, Nhat Ho |
| 2024 | AISTATS | Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts. | Huy Nguyen, TrungTin Nguyen, Khai Nguyen, Nhat Ho |
| 2024 | CVPR | Integrating Efficient Optimal Transport and Functional Maps for Unsupervised Shape Correspondence Learning. | Tung Le, Khai Nguyen, Shanlin Sun, Nhat Ho, Xiaohui Xie |
| 2024 | ICASSP | Fast Approximation of the Generalized Sliced-Wasserstein Distance. | Dung Le, Huy Nguyen, Khai Nguyen, Trang Nguyen, Nhat Ho |
| 2024 | ICLR | Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction. | Thanh-Tung Le, Khai Nguyen, Shanlin Sun, Kun Han, Nhat Ho, Xiaohui Xie |
| 2024 | ICLR | Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. | Manh Luong, Khai Nguyen, Nhat Ho, Gholamreza Haffari, Dinh Phung, Lizhen Qu |
| 2024 | ICLR | Quasi-Monte Carlo for 3D Sliced Wasserstein. | Khai Nguyen, Nicola Bariletto, Nhat Ho |
| 2024 | ICLR | Sliced Wasserstein Estimation with Control Variates. | Khai Nguyen, Nhat Ho |
| 2024 | ICML | Sliced Wasserstein with Random-Path Projecting Directions. | Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho |
| 2024 | ICRA | TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers. | Khai Nguyen, Sam Schoedel, Anoushka Alavilli, Brian Plancher, Zachary Manchester |
| 2023 | ICASSP | On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks. | Dang Nguyen, Trang Nguyen, Khai Nguyen, Dinh Q. Phung, Hung Hai Bui, Nhat Ho |
| 2023 | ICLR | Hierarchical Sliced Wasserstein Distance. | Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Nguyen, Nhat Ho |
| 2023 | ICML | Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction. | Khai Nguyen, Dang Nguyen, Nhat Ho |
| 2022 | AISTATS | On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity. | Khang Le, Huy Nguyen, Khai Nguyen, Tung Pham, Nhat Ho |
| 2022 | ICML | On Transportation of Mini-batches: A Hierarchical Approach. | Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho |
| 2022 | ICML | Improving Mini-batch Optimal Transport via Partial Transportation. | Khai Nguyen, Dang Nguyen, The-Anh Vu-Le, Tung Pham, Nhat Ho |
| 2021 | ICLR | Distributional Sliced-Wasserstein and Applications to Generative Modeling. | Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui |
| 2021 | ICLR | Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein. | Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui |
| 2018 | ACIIDS | A Novel Method to Predict Type for DBpedia Entity. | Thi-Nhu Nguyen, Hideaki Takeda, Khai Nguyen, Ryutaro Ichise, Tuan-Dung Cao |
| 2018 | BIBE | Learning Effective Distributed Representation of Complex Biomedical Concepts. | Khai Nguyen, Ryutaro Ichise |
| 1995 | FPL | Migration of a Dual Granularity Globally Interconnected PLD Architecture to a 0.5 µm TLM Process. | John Turner, Richard Cliff, W. Leong, Cameron McClintock, Ninh Ngo, Khai Nguyen, Chiakang Sung, Bonnie Wang, J. Watson |